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3 years ago

a house in Florida is priced at $155,000 the rent on a comparable houses $950 per month find the price to rent ratio

Mathematics

1 answer:

zysi [14]3 years ago

8 0

<u>Answer: </u>

The price to rent ratio calculated is 13.6.

<u>Explanation: </u>

As per the stated question,

the house in florida was priced at $155,000 and

the rent that was comparable houses was $950 per month.

The house rent for a year can be calculated as 950 x 12 = 11400

Henceforth, the formulae for price to rent ratio was given as

$\text { rent ratio }=\frac{\text { median home price }}{\text { median home rent }}$

= $\frac{155000}{950 \times 12}=\frac{155000}{11400}=13.6$

therefore the price to rent ratio is 13.6

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Fudgin [204]

Answer: The initial volume is 593.76mL

Step-by-step explanation:

As you do not say anithing about the pressure, i guess that the pressure remains constant.

If the gas is an ideal gas, we have:

P*V = n*R*T

where P is pressure, n is number of moles and R is a constant.

Now, initially we have:

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finally we have:

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Now we can take the quiotient of those two equations and get:

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3 0

3 years ago

8(s+3)=72 i need help it is due tomorrow

Montano1993 [528]

Answer:

s = 6

Step-by-step explanation:

8(s+3) = 72

Expand the brackets out:

(8 x s) + (8 x 3) = 72

8s + 24 = 72

Now you get rid of 24 on the left, by taking away 24. But you also have to do the same on the right side so that both sides are equal:

8s + 24 = 72

left(-24) = right (-24)

So that leaves you with:

8s = 48

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8s = 72

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s = 6

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3 years ago

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Vlad1618 [11]

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4 0

3 years ago

1a. [1 mark] The price per kilogram of tomatoes, in euros, sold in various markets in a city is found to be normally distributed

andrey2020 [161]

Answer:

The price that is two standard deviations above the mean price is 4.90.

Step-by-step explanation:

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the z-score of a measure X is given by:

$Z = \frac{X - \mu}{\sigma}$

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

Mean of 3.22 and a standard deviation of 0.84.

This means that $\mu = 3.22, \sigma = 0.84$